Paper: Single Document Keyphrase Extraction Using Label Information

ACL ID C14-1139
Title Single Document Keyphrase Extraction Using Label Information
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2014
Authors

Keyphrases have found wide ranging application in NLP and IR tasks such as document sum- marization, indexing, labeling, clustering and classification. In this paper we pose the problem of extracting label specific keyphrases from a document which has document level metadata as- sociated with it namely labels or tags (i.e. multi-labeled document). Unlike other, supervised or unsupervised, methods for keyphrase extraction our proposed methods utilizes both the doc- ument?s text and label information for the task of extracting label specific keyphrases. We pro- pose two models for this purpose both of which model the problem of extracting label specific keyphrases as a random walk on the document?s text graph. We evaluate and report the quality of the extracted keyphrases on a popular multi-...